Review paper
Privacy and safety analysis of timed stochastic discrete event systems using Markovian trajectory-observers
Abstract
Various aspects of privacy and safety in many application domains can be assessed based on proper analysis of successive measurements that are collected about a given system. This work is devoted to such issues in the context of timed stochastic discrete event systems (DES) that are modeled with partially observed timed stochastic Petri net models. The first contribution is to introduce a k-step trajectory-observer, which is a construction that...
Paper Details
Title
Privacy and safety analysis of timed stochastic discrete event systems using Markovian trajectory-observers
Published Date
Mar 12, 2020
Volume
30
Issue
3
Pages
413 - 440
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